What can you contribute?
Track
What you’ll contribute
Example micro-tasks
Skills&Background Preference
LLM Fine-tune Data
High-quality, expert “know-how” Q&A to push DMind-1’s reasoning on a specific web3 fields like DeFi, NFTs, chain security, …
“Add 10 Solana Rust security Q&A pairs” or “10 Q&A pairs that shows the signals behind spotting reentrancy risks in EVM contract”
Solid understanding of Web3 topics
Web3 LLM Benchmark Items
Objective CSV quizzes & subjective audit prompts that expand the DMind Benchmark
“Create 5 ETH-L2 token-economics MCQs”
Domain knowledge in Web3 topics
Analytical thinking (prompt design, risk framing)
Basic data formatting skill
Ecosystem Projects
Bots, agents, SDKs, CLI tools powered by DMind-1
“Airdrop-watcher agent that auto-claims on-chain rewards”
Software development experience
Familiarity with LLM APIs and AI tool integration
(Bonus): Experience in agent frameworks or Web3 tooling
Tips:
You can start small (a single row of data) or propose a bigger dataset contribution—tasks scale to every time budget.
“Ecosystem Projects” track will be evaluated based on a different scale than the Data contribution
Contributions are rewarded through a transparent point system (MindPoints), with monthly cash grants, micro-grants ($500–$3,000), and leaderboard recognition on dmind.ai.
Last updated